Triple

T29979371
Position Surface form Disambiguated ID Type / Status
Subject Pura people E761538 entity
Predicate partOf P40 FINISHED
Object Alor–Pantar cultural area
The Alor–Pantar cultural area is a region in eastern Indonesia encompassing the Alor and Pantar Islands, known for its diverse indigenous communities, distinct Papuan and Austronesian languages, and rich maritime-oriented traditions.
 E1895511 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Alor–Pantar cultural area | Statement: [Pura people, partOf, Alor–Pantar cultural area]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Alor–Pantar cultural area
Triple: [Pura people, partOf, Alor–Pantar cultural area]
Generated description
The Alor–Pantar cultural area is a region in eastern Indonesia encompassing the Alor and Pantar Islands, known for its diverse indigenous communities, distinct Papuan and Austronesian languages, and rich maritime-oriented traditions.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f2246851148190b8e76206db94b105 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f678d75b1c81909dfc607a4bba5826 completed May 2, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2721fbc494819093367e27055f46cc completed June 8, 2026, 8:11 p.m.
NEDg Description generation batch_6a2724257ad88190aa9148edaeb01096 completed June 8, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_6a272738fe988190ba8b43c819546bb4 completed June 8, 2026, 8:34 p.m.
Created at: April 29, 2026, 6:34 p.m.